An intelligent black soil sloping farmland erosion self-feedback system and implementation method

Abstract

The present invention relates to the field of black soil slope erosion prevention and control measures, specifically an intelligent black soil slope farmland erosion self-feedback system and implementation method, solar panels, on-site meteorological stations and intelligent integrated boxes with intelligent integrators and on-site image monitoring systems are installed on the black soil slope farmland through fixed ground anchors, a number of temperature sensors, water quality detectors and ground moisture content monitoring sensors with the same intervals are arranged on the black soil slope farmland, a laser scanner and a surface runoff monitoring sensor are installed through a fixed bracket, and the detection signal is transmitted to the indoor computing and processing terminal in the indoor processing station through a wireless transmission antenna for processing, and the processing information is alarmed through the black soil slope erosion level alarm indicator therein. The present invention can transmit the obtained data such as on-site boundary conditions to the indoor computer terminal, analyze the black soil slope erosion under the current situation based on numerical calculation software, and provide technical support for relevant departments to take measures.

Description

Technical Field

[0001] The invention relates to the field of black soil slope erosion prevention and control measures, and specifically to an intelligent black soil slope farmland erosion self-feedback system and an implementation method. Background Art

[0002] As one of the main cultivated lands in Northeast my country, black soil slope plays a vital role in the development of agriculture, animal husbandry and other industries. A comprehensive understanding of the erosion and destruction process of black soil slope cultivated land can provide a reliable guarantee for soil and water loss in agricultural planting areas in Northeast my country, provide important basic data for the stability analysis of engineering structures in black soil slope areas, and play an important role in the economic development of black soil slope areas. In the prior art, the flow velocity of the slope is mainly tested by technical methods such as the electrolyte tracer method, and the flow of sand-containing water is tested and analyzed by setting up a steady flow trough on site combined with a flow meter. For black soil slope cultivated land in Northeast China, it is impossible to obtain accurate test results for the freezing depth under the action of seasonal freeze-thaw cycles, and some scholars have pointed out that the freezing effect of the black soil slope also affects its erosion process, which will aggravate the erosion process of the black soil slope. Therefore, it is particularly important to set up a suitable device and method to measure the freezing depth of different sections of the black soil slope.

[0003] The surface of the black soil slope will produce different erosion effects under the action of rainwater and irrigation water. Usually, the effect of rainwater on the black soil slope can form splash pits of different diameters according to the intensity of rainfall. Under the action of continuous rainfall, the diameter of the splash pits continues to expand and affect the cultivated land, forming a more serious soil and water loss phenomenon. Irrigation water often flows from top to bottom along the slope, taking away some particles in the black soil during the flow, causing the remaining soil structure to lose and form soil and water loss. In this regard, it is very important to determine the change law of rainfall intensity and splash pit diameter. It is also particularly important to infer the components lost in the remaining black soil by the changes in the sand content and the sand particle size contained in the surface water flow.

[0004] In addition, there is currently a lack of systematic testing of the volume of erosion gullies formed in black soil sloping farmland, and a lack of testing and analysis of the infiltration of water in black soil sloping farmland under the action of surface runoff and rainfall. The infiltration of surface water in black soil slopes can indirectly reflect the soil and water loss of black soil slopes, and can also reflect the water retention characteristics of black soil slopes. The volume of erosion gullies formed in black soil sloping farmland can reflect the duration of erosion and the flow rate of surface water flow. Therefore, it is crucial to use appropriate equipment and technical methods to study the volume of erosion gullies in black soil sloping farmland and the permeability of surface water in black soil slopes for understanding the erosion process of black soil sloping farmland.

[0005] At present, there is no automated monitoring and feedback system for the entire erosion process of black soil sloping farmland. Current research mainly analyzes a certain process or stage of erosion by surface runoff, ground infiltration, electrolyte tracer method, etc. Different erosion stages have not been effectively connected and lack a certain degree of systematicity. Erosion is a systematic geological process involving multiple factors. Therefore, it is necessary to combine geological characteristics and modern advanced technical methods to establish a systematic monitoring system for the erosion process of black soil sloping farmland, and to form a self-feedback system based on the detection system, organically combining the processes of monitoring-feedback-early warning-prevention and control, so as to take preventive protection measures in the later agricultural, animal husbandry and industrial development, thereby preventing the expansion of the erosion range of black soil sloping farmland, causing serious soil and water loss, and posing a threat to farmland and engineering structures. The deficiencies of the prior art are as follows: 1. The method provided in the prior art does not accurately test the freezing depth and freezing range of different sections of the black soil sloping farmland area with freeze-thaw effects; 2. The prior art only tests and analyzes the erosion amount of the black soil slope, and does not analyze the internal mechanism of soil and water loss caused by surface runoff, that is, the particle composition of the particles contained in the lost soil is not analyzed, and thus it is impossible to determine the internal mechanism of further soil and water loss caused by the instability of the remaining soil structure; 3. The prior art lacks technical means to monitor and measure the erosion gullies in the black soil sloping farmland in real time, and also lacks technical means to monitor the infiltration of surface water in the black soil sloping farmland, resulting in certain uncertainties in the erosion mechanism. Summary of the invention

[0006] One of the purposes of the present invention is to provide an intelligent black soil sloping farmland erosion self-feedback system, which is characterized in that: a solar panel 1, an on-site meteorological station 15 and an intelligent integration box 2 equipped with an intelligent integrator 4 and an on-site image monitoring system 11 are installed on the black soil sloping farmland surface 9 through a fixed ground anchor 12, a plurality of temperature sensors 5, a water quality detector 10 and a ground moisture content monitoring sensor 13 with the same intervals are arranged on the black soil sloping farmland surface 9, and a laser scanner 6 and a surface runoff monitoring sensor 14 are installed through a fixed bracket 19, all the signals obtained by detection are transmitted to the indoor computing and processing terminal 17 in the indoor processing station 18 for processing through a wireless transmission antenna 3, and the processing information is alarmed through the black soil slope erosion level alarm indicator light 16 therein.

[0007] The laser scanner 6 is provided with a laser scanner control system 8, and the laser scanner control system 8 is used to control a laser regulator 21 and a central control system 22 installed on the laser scanner 6. The laser scanner 6 transmits the detection result to the computing and processing terminal 17 via the wireless transmission antenna 3.

[0008] The central control system 22 is connected to the surface runoff monitoring sensor 14. The laser dot matrix transmitting probe 20 installed on the surface runoff monitoring sensor 14 collects information and transmits it to the central control system 22 for processing. The laser regulator 21 adjusts the laser probe 7 installed on the laser scanner 6 according to the information instructions processed by the central control system 22.

[0009] The water quality detector 10 is provided with a water inlet 23 and a water outlet 24, and a chemical composition monitoring sensor 25, a particle composition sensor 26 and a surface runoff sensor 27 are installed in sequence in the water quality detector. The chemical composition monitoring sensor 25, the particle composition sensor 26 and the surface runoff sensor 27 are interconnected with the water inlet 23 and the water outlet 24 through a conduit. The chemical composition monitoring sensor 25, the particle composition sensor 26 and the surface runoff sensor 27 transmit the detection information to the data acquisition control system 28, and the data acquisition control system 28 transmits the detection result to the computing and processing terminal 17 through the wireless transmission antenna 3.

[0010] The ground moisture monitoring sensor 13 is fixed on the black soil sloping cultivated land 9 through a fixed bracket 19. A rotation controller 29 is provided on the ground moisture monitoring sensor 13 for adjusting the position of the ground moisture monitoring sensor 13. The ground moisture monitoring sensor 13 includes a data acquisition identification system 30 and a data acquisition window 31.

[0011] Another object of the present invention is to provide an implementation method based on an intelligent black soil sloping farmland erosion self-feedback system, characterized in that it comprises the following steps:

[0012] S1. Installation of various sensors: According to the engineering survey, various sensors are laid at specific distances by combining mechanical and manual methods;

[0013] S2. Sensor testing and debugging: Use special testing equipment to test various sensors, and then debug the sensors after testing;

[0014] S3. Communication between various sensors and intelligent integrators: Use wireless transmission devices to connect various sensors with intelligent integrators to ensure normal and stable data transmission;

[0015] S4, erosion-self-feedback system operation: all sensors and intelligent integrators on site are turned on and connected to the indoor computing and processing terminal for communication. The erosion status of the black soil slope is observed in real time through the indoor computing and processing terminal to obtain the erosion grade of the black soil slope farmland;

[0016] S5. Erosion-self-feedback system maintenance: Faulty sensors should be maintained and repaired in a timely manner to ensure the normal operation of the entire system.

[0017] The beneficial effects of the present invention are as follows: 1) The present invention measures the freezing depth of the black soil slope in winter by setting temperature sensors in different sections of the black soil sloping farmland, and deploys sensors according to the topographical features, hydrogeological conditions, geological structures and other characteristics to obtain the overall freezing conditions of the black soil slope in a certain area. At the same time, the spring thawing range is tested according to the data collected by the sensors to obtain the influence of seasonal freeze-thaw on the erosion process of the black soil sloping farmland.

[0018] 2) The present invention uses a laser scanner combined with the color difference technology of black soil sloping farmland with different moisture contents to monitor the surface moisture content of black soil slopes in real time, uses the probe in the laser scanner to monitor the surface runoff in real time, places particle composition monitoring sensors at locations where runoff is more developed, monitors the flow rate, particle composition of substances carried in surface water, chemical components in surface water, etc. in real time, and transmits the data to the analysis station through a wireless data transmitter.

[0019] 3) The present invention uses three-dimensional laser scanner technology to monitor, scan and record the erosion pits formed in the black soil sloping farmland in real time, obtain the dynamic development process data of the entire erosion pits and erosion gullies, and simultaneously use the infiltration monitoring box to monitor and analyze the infiltration performance of surface water, and obtain physical parameters such as the real-time permeability coefficient of the black soil sloping farmland.

[0020] 4) The present invention integrates the basic parameters of erosion gullies, erosion pits, and splash pits in the black soil sloping farmland collected on site, as well as the permeability coefficient, freezing depth, and water content of the surface layer of the black soil slope through an intelligent integrated system. After integration, the pre-programmed software is used to automatically analyze and process, and the erosion boundary of the entire black soil sloping farmland is determined. The specific scope of erosion suffered by the black soil sloping farmland is determined, and a gradient map of different erosion degrees of the black soil sloping farmland is generated in the form of a map. The map includes the erosion boundary and the erosion degree at different positions. Based on the gradient map of different erosion degrees, a black soil sloping farmland erosion evaluation system is established, and the erosion degree is evaluated according to the obtained results, and specific prevention and control measures are taken to prevent the black soil sloping farmland from further erosion damage. At the same time, the present invention can transmit the obtained data such as the on-site boundary conditions to the indoor computer terminal, and predict and analyze the development of black soil slope erosion under the current situation based on the numerical calculation software, so as to provide technical support for the relevant departments to take measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is an overall schematic diagram;

[0022] Figure 2 is a schematic diagram of a laser scanner;

[0023] Figure 3 It is a schematic diagram of a water quality detector;

[0024] Figure 4 It is a schematic diagram of the ground moisture monitoring sensor;

[0025] As shown in the figure: solar panel 1, intelligent integrated box 2, wireless transmission antenna 3, intelligent integrator 4, temperature sensor 5, laser scanner 6, laser probe 7, laser scanner control system 8, black soil sloping cultivated land 9, water quality detector 10, on-site image monitoring system 11, fixed anchor 12, ground moisture content monitoring sensor 13, surface runoff monitoring sensor 14, on-site meteorological station 15, black soil slope erosion level alarm indicator 16, indoor computing and processing terminal 17, indoor processing station 18, fixed bracket 19, laser dot matrix transmitting probe 20, laser regulator 21, central control system 22, water inlet 23, water outlet 24, chemical composition monitoring sensor 25, particle composition sensor 26, surface runoff sensor 27, data acquisition control system 28, rotation controller 29, data acquisition identification system 30, data acquisition window 31. DETAILED DESCRIPTION

[0026] The technical solution of the present invention is further described below with reference to the accompanying drawings and through specific embodiments:

[0027] Example 1

[0028] like Figures 1 to 4 An intelligent black soil slope farmland erosion self-feedback system is shown, and the main functions and working principles of each component are as follows:

[0029] The main function of the solar panel 1 is to provide power for the entire monitoring system and also for the on-site weather station.

[0030] The main function of the intelligent integration box 2 is to protect the intelligent integrator, fix the on-site image monitoring system and wireless transmission antenna, etc., and to store redundant cables and on-site work records.

[0031] The wireless transmission antenna 3 mainly transmits the data processed by the intelligent integrator and various data collected on site to the indoor computing and processing terminal.

[0032] The main function of the intelligent integrator 4 is to collect the data collected by various sensors on site, conduct comprehensive analysis and judgment based on the integrated data, and conduct intelligent analysis according to the previously preset operating software and programs to obtain preliminary data on the degree and range of erosion of black soil sloping farmland, and then transmit the data to the indoor processing terminal for staff to judge. At the same time, the intelligent integrator can judge the working status of each sensor based on the readings collected by each sensor. If the sensor is abnormal, the information can be reported to the indoor terminal to facilitate timely replacement of the sensor.

[0033] The temperature sensor 5 mainly monitors the change of ground temperature at different positions of black soil sloping farmland during seasonal changes, mainly to judge the freezing depth and freezing range of the strata. The layout of the sensor takes into account the topography, geological structure and hydrogeological conditions of the black soil sloping farmland in the area. Since the specific heat coefficients of different lithological strata are different, the layout of the temperature sensor takes into account geological factors to ensure the reliability and accuracy of the data obtained. The main function of the laser scanner 6 is to scan the size and volume of the splash pits, erosion pits and erosion grooves formed on the surface of the black soil slope in real time, so as to obtain the development and change law data of various erosion phenomena, and then invert the entire erosion process; at the same time, the surface runoff is monitored and analyzed by the sensor, and the data of the particle composition sensor is mutually verified to improve the accuracy of the data.

[0034] Laser probe 7 mainly scans and records the size and volume of various erosion pits and erosion grooves in real time

[0035] The main function of the laser scanner 8 control system is to control the laser probe and the surface runoff monitoring sensor, control the orientation and angle of the laser probe and the sensor, and provide rotation to ensure that the laser probe and the runoff monitoring sensor can work in all directions, and provide lasers of suitable frequencies as needed for the surface runoff monitoring sensor and the laser probe to work; at the same time, the control system can monitor the working conditions of the sensors and laser probes in real time, and report the faults to the intelligent integrator in time if any abnormality is found.

[0036] The main function of the water quality detector is to monitor the surface runoff in real time and analyze the particle composition carried in the surface runoff. Some probes also have the function of monitoring the chemical composition in the surface runoff. The surface runoff data obtained can be compared with the data obtained by the surface runoff monitoring sensor, and the final runoff data, particle composition data and chemical composition data are transmitted to the intelligent integrator through a wireless transmission device. The on-site image monitoring system 11 is mainly used to monitor the working conditions of various sensors on site and whether anyone has damaged various monitoring facilities, and to obtain an intuitive understanding of the meteorological conditions on site.

[0037] The fixed anchor 12 is mainly used to fix the entire intelligent integrated box, solar panels and on-site meteorological station to ensure the stability and safety of the entire structure. The main working principle of the ground moisture monitoring sensor 13 is to monitor the change of surface moisture content in real time based on the calibration data of the surface color change of black soil sloping cultivated land. Since the change of surface moisture content will cause its color to change, that is, different surface moisture content will produce differences in the reflection of visible light. The sensor monitors the change of surface moisture content in real time based on this principle, and can obtain quantitative data on the relationship between black soil slope erosion damage and moisture content.

[0038] The main working principle of the surface runoff monitoring sensor 14 is to monitor the flow of water based on the form of laser dot array. When a certain number of laser points are projected onto the ground, if the runoff increases, its horizontal range will continue to expand, and the number of occupied laser points will increase, which is converted into the value of surface runoff. The surface runoff obtained by the sensor reflects more the size of the horizontal runoff, while the runoff obtained by the particle composition sensor reflects more the size of the vertical runoff. The data obtained by combining the two is more reliable.

[0039] The main function of the on-site meteorological station 15 is to conduct real-time monitoring of meteorological parameters such as wind direction, wind speed, light, rainfall, temperature and humidity at the site. There is a certain intrinsic connection between meteorological parameters and the degree of erosion of black soil slope farmland. The acquisition of these parameters can provide technical parameters for analyzing the erosion process of black soil slopes.

[0040] The black soil slope erosion level alarm indicator light 16 mainly issues certain early warning alarms based on the calculated erosion level, providing a basis for the staff to take corresponding measures. The black soil slope erosion level finally obtained by the present invention has corresponding prevention and control measures. The staff can directly take corresponding measures according to the color of the alarm indicator light. It is simple, convenient and easy to master. It can be popularized among farmers and construction sites and has a wide range of applications.

[0041] The main function of the indoor computing and processing terminal 17 is to store various data collected on site and analyze the data based on the corresponding software. At the same time, the erosion condition of black soil sloping farmland can be numerically calculated and analyzed based on the data collected on site, and predictions can be provided for the further development of erosion gullies and various types of erosion damage, providing a reference for subsequent measures.

[0042] The indoor processing station 18 is mainly used to protect indoor computing terminals and various data storage devices. All the above sensors are connected to the intelligent integrator through wireless transmission devices. The sensor power is provided by rechargeable batteries, and the batteries are charged through wireless charging technology to ensure the normal operation of the sensors. At the same time, wireless charging technology saves the cost of a large amount of wiring for early sensors and avoids the limitations caused by wiring.

[0043] The fixing bracket 19 is mainly used to install and fix the entire laser scanner system and the entire ground moisture content monitoring system to ensure the installation stability of the above-mentioned system in a complex environment.

[0044] The laser dot matrix transmitting probe 20 is mainly used for testing the use of laser dot matrix in the process of surface runoff.

[0045] The laser regulator 21 mainly transmits laser light of a suitable wavelength to the laser probe for measurement according to the instructions issued by the central control system.

[0046] The central control system 22 mainly determines the best laser effect for outdoor use based on the data collected by the on-site meteorological station, and sends instructions to the laser regulator through judgment.

[0047] The water inlet 23 is mainly used for the water flow from the black soil slope to enter the monitoring system.

[0048] The water outlet 24 discharges the water after the test out of the monitoring system through the outlet.

[0049] The chemical composition monitoring sensor 25 is mainly used for testing the chemical composition in surface runoff water, including testing of chemical composition and environment such as anion and cation content and pH.

[0050] The particle composition sensor 26 is mainly used to test the content of particles of different particle sizes in surface runoff, and the main material components lost in black soil sloping farmland can be obtained through the data.

[0051] The surface runoff sensor 27 is mainly used to test the size of the surface runoff.

[0052] The data acquisition and control system 28 is mainly used to collect and summarize the data from various sensors and send the data to the intelligent integrator.

[0053] The rotation controller 29 can rotate the monitoring system at any angle according to the collection needs to achieve all-round monitoring.

[0054] Data acquisition and identification system 30 The main function of this system is to identify the surface color changes of black soil sloping farmland collected on-site based on the quantitative calibration curve between the ground color changes and the moisture content input in the early stage, and then reflect the color difference as moisture content data. This part of the data will be combined with the moisture sensors buried on-site for comparison and analysis to ensure the accuracy of the results.

[0055] The data collection window 31 is mainly used for collecting the data of the surface color change of the black soil sloping farmland, and transmitting the data to the data collection and identification system in a timely manner.

[0056] The main embodiments of the present invention are as follows:

[0057] 1) Sensor installation. First, through geotechnical engineering surveys on site, combined with industry standards for agriculture and other industries, the sensor layout locations are determined on black soil sloping farmland. Then, sensor burial pits are excavated by mechanical and manual methods, and then the sensors are fixed to the pre-selected locations.

[0058] 2) Sensor detection and debugging. After the sensor is installed, first use special equipment to detect whether each sensor can work normally. On this basis, debug the sensor to ensure that each sensor and the monitoring system can be used normally.

[0059] 3) Communication between sensors and intelligent integrators. Use wireless transmission devices to connect each sensor to the intelligent integrator to ensure normal and stable data transmission.

[0060] 4) Erosion-self-feedback system operation. All sensors and intelligent integrators on site are turned on and connected to the indoor computing and processing terminal. The erosion status of the black soil slope is observed in real time through the indoor computing and processing terminal, the erosion level of the black soil slope farmland is obtained, and corresponding prevention and control measures can be taken.

[0061] 5) Erosion-self-feedback system maintenance. After the system has been used for a period of time, the working status of each sensor should be monitored in real time, and faulty sensors should be maintained and repaired in a timely manner to ensure the normal operation of the entire system.

[0062] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0063] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. An intelligent black soil sloping farmland erosion self-feedback system, characterized by: Solar panels, on-site weather stations, and an intelligent integrated box equipped with an intelligent integrator and an on-site image monitoring system are installed on the black soil sloping cultivated land through fixed ground anchors. Several temperature sensors, water quality detectors, and ground moisture content monitoring sensors are set at the same intervals on the black soil sloping cultivated land. At the same time, laser scanners and surface runoff monitoring sensors are installed through fixed brackets. The wireless transmission antenna mainly transmits the data processed by the intelligent integrator and various data collected on-site to the indoor computing and processing terminal; and the black soil slope erosion level alarm indicator light inside it alarms the processing information; The main function of the intelligent integrator is to collect the data collected by various sensors on site, conduct comprehensive analysis and judgment based on the integrated data, and conduct intelligent analysis according to the previously preset operating software and programs to obtain preliminary data on the degree and range of erosion of black soil sloping farmland; The temperature sensor mainly monitors the change of ground temperature at different positions of black soil sloping farmland during seasonal changes; The water quality detector is equipped with a chemical composition monitoring sensor, a particle composition sensor and a surface runoff sensor in sequence; The main function of the laser scanner is to scan the size and volume of splash pits, erosion pits and erosion gullies formed on the surface of the black soil slope in real time; An implementation method based on an intelligent black soil sloping farmland erosion self-feedback system comprises the following steps: S1. Installation of various sensors: According to the engineering survey, temperature sensors, water quality detectors and ground moisture monitoring sensors are laid at specific distances by combining mechanical and manual methods; S2. Sensor testing and debugging: Use special testing equipment to test various sensors, and then debug the sensors after testing; S3. Communication between various sensors and intelligent integrators: Use wireless transmission devices to connect various sensors with intelligent integrators to ensure normal and stable data transmission; S4, erosion-self-feedback system operation: all sensors and intelligent integrators on site are turned on and connected to the indoor computing and processing terminal for communication. The erosion status of the black soil slope is observed in real time through the indoor computing and processing terminal to obtain the erosion grade of the black soil slope farmland; S5. Erosion-self-feedback system maintenance: Faulty sensors should be maintained and repaired in a timely manner to ensure the normal operation of the entire system.

2. The intelligent black soil sloping farmland erosion self-feedback system according to claim 1 is characterized by: The laser scanner is provided with a laser scanner control system, which is used to control a laser regulator and a central control system installed on the laser scanner. The laser scanner transmits the detection result to a computing and processing terminal via a wireless transmission antenna.

3. The intelligent black soil sloping farmland erosion self-feedback system according to claim 2 is characterized by: The central control system is connected to the surface runoff monitoring sensor. The laser dot matrix transmitting probe installed on the surface runoff monitoring sensor collects information and transmits it to the central control system for processing. The laser regulator adjusts the laser probe installed on the laser scanner according to the information instructions processed by the central control system.

4. The intelligent black soil sloping farmland erosion self-feedback system according to claim 1 is characterized by: The water quality detector is provided with a water inlet and a water outlet. The chemical composition monitoring sensor, the particle composition sensor and the surface runoff sensor are interconnected with the water inlet and the water outlet through a conduit. The chemical composition monitoring sensor, the particle composition sensor and the surface runoff sensor transmit the detection information to the data acquisition control system, and the data acquisition control system transmits the detection result to the computing and processing terminal through the wireless transmission antenna.

5. The intelligent black soil sloping farmland erosion self-feedback system according to claim 1 is characterized by: The ground moisture monitoring sensor is fixed on the black soil sloping cultivated land through a fixed bracket. A rotation controller is arranged on the ground moisture monitoring sensor for adjusting the position of the ground moisture monitoring sensor. The ground moisture monitoring sensor comprises a data acquisition identification system and a data acquisition window.

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